It is often argued that experiments are strong on causal identification (internal validity) but weak on generalizability (external validity). One widely accepted way to limit threats to external validity is to incorporate as much variation in the background conditions and in the covariates as possible through replication. Another strategy is to make the theoretical foundations of the experiment...

This article is intended to serve as a primer on methodological standards for gender scholars pursuing content analytic research. The scientific underpinnings of the method are explored, including the roles of theory, past research, population definition, objectivity/intersubjectivity, reliability, validity, generalizability, and replicability. Both human coding and computer coding are consider...

Coaches are important providers of social support, but what influences us to perceive our coaches as supportive or unsupportive? We investigated the extent to which perceptions of coach support reflect characteristics of athletes and coaches, as well as relational components. In three studies, athletes judged the actual or hypothetical supportiveness of various coaches. The methods of generaliz...

This survey study assessed former students' perceptions on the efficacy of how well a newly implemented master's in health professions education degree program achieved its academic aims. These academic aims were operationalized by an author-developed scale to assess the following domains: a) developing interprofessional skills and identity; b) acquiring new academic skills; and c) providing a ...

Discussing findings of a clinical trial gives an opportunity to the investigator to elaborate the meaning of the findings of the trial. It should consist of the major findings, interpretation of the results in light of the available literature, theory and practice, limitations, generalizability of the findings and its implication, and way forwards for future research. One should avoid repetitio...

The classical multitrait-multimethod (MTMM) matrix can be viewed as a two-dimensional cross-classification of traits and methods. Beside commonly used analysis methods such as structural equation modeling and generalizability theory, multilevel analysis offers attractive possibilities. If the focus is only on analyzing classical MTMM data, the multilevel approach has no surplus value, because t...

Research in cognitive psychology suggest that the concepts human beings use vary across individuals, time and contexts. In this paper we study implications of these findings for system analysis methodologies. These methodologies seem to assume stability and generalizability of mental entities and thus the interrelations of concepts, operations and technology are poorly understood. Based on stud...